Ufp Technologies (UFPT) Receivables - Other (2015 - 2019)
Ufp Technologies' Receivables - Other was $44,000 in Q1 2019, down 32.3% from the prior quarter.
Analysis
Ufp Technologies (UFPT) Receivables - Other (2015 - 2019) Analysis & Trends
At the end of FY2018, Receivables - Other at Ufp Technologies came in at $65,000.
- Receivables - Other shows a three-year compound annual growth rate of 25.4% (FY2015 to FY2018).
- In earlier years, Receivables - Other was $23,000 in FY2016 (-30.3%) and $33,000 in FY2015.
- The Q1 2019 figure marks the lowest quarterly Receivables - Other since Q4 2016.
- Per Business Quant data, UFPT's Receivables - Other in the three quarters before Q1 2019 was $65,000 (Q4 2018), $48,000 (Q3 2018) and $236,000 (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 44,000.00 |
| Dec 31, 2018 | 65,000.00 |
| Sep 30, 2018 | 48,000.00 |
| Jun 30, 2018 | 236,000.00 |
| Mar 31, 2017 | 65,000.00 |
| Dec 31, 2016 | 23,000.00 |
| Sep 30, 2016 | 66,000.00 |
| Jun 30, 2016 | 49,000.00 |
| Dec 31, 2015 | 33,000.00 |
API Access
Ufp Technologies Receivables - Other API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=receivables-other&ticker=UFPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "ticker": "UFPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables-other&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();